Gigabyte Technology Co., Ltd. B650M D3HP AX
Geekbench AI Score
2735
Single Precision Score
784
Half Precision Score
4294
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | December 12 2024 09:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M D3HP AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M D3HP AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
99% |
4976
928.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
2429
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4412
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3801
4.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
19124
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
88% |
1854
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
5271
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5488
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1025
7.90 IPS |
|
|
Depth Estimation (Q)
|
76% |
10206
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10939
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9872
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25358
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3566
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
436
584.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2345
52.3 IPS |
